Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book
has assertion: assertion
has provenance: provenance
has publication info: pubinfo
type: Nanopublication
created: 2026-03-03T15:17:18.253+01:00
creator: RoCrateBot
type: RoCrateNanopub

Environmental research
type: DefinedTerm

Climatology
type: DefinedTerm

Seasonal Arctic sea ice forecasting with probabilistic deep learning
date created: 2022-04-03 22:38:18.897063+00:00
date modified: 2023-03-20 18:04:53.028630+00:00
description: Related publication of the modelling presented in the Jupyter notebook
license: no-permission
sd date published: 2022-04-03 22:38:18.897063+00:00
type: BibliographicResource
type: Resource
type: MediaObject

Input Dataset for IceNet's demo notebook
date created: 2022-04-03 22:38:16.031702+00:00
date modified: 2023-03-20 18:04:53.431880+00:00
description: Contains input Dataset for IceNet's demo notebook used in the Jupyter notebook of Sea ice forecasting using IceNet
license: no-permission
sd date published: 2022-04-03 22:38:16.031702+00:00
type: Dataset
type: Resource
type: MediaObject

Outputs
date created: 2022-04-03 22:38:17.386248+00:00
date modified: 2023-03-20 18:04:55.846637+00:00
description: Contains outputs, (table and figures), generated in the Jupyter notebook of Sea ice forecasting using IceNet
license: no-permission
sd date published: 2022-04-03 22:38:17.386248+00:00
type: Dataset
type: Resource
type: MediaObject

Input Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
date created: 2022-04-03 22:38:14.669821+00:00
date modified: 2023-03-20 18:04:49.819080+00:00
description: Contains input Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning' used in the Jupyter notebook of Sea ice forecasting using IceNet
license: no-permission
sd date published: 2022-04-03 22:38:14.669821+00:00
type: Dataset
type: Resource
type: MediaObject

Online rendered version of the Jupyter notebook
date created: 2022-04-03 22:38:31.388108+00:00
date modified: 2023-03-20 18:04:56.645098+00:00
description: Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book
encoding format: text/html
license: no-permission
sd date published: 2022-04-03 22:38:31.388108+00:00
type: Resource
type: MediaObject
type: publication

Lock conda file for linux-64
date created: 2022-04-03 22:38:32.938456+00:00
date modified: 2023-03-20 18:04:52.526142+00:00
description: Lock conda file for linux-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book
license: no-permission
sd date published: 2022-04-03 22:38:32.938456+00:00
type: Resource
type: MediaObject

Lock conda file for osx-64
date created: 2022-04-03 22:38:34.714518+00:00
date modified: 2023-03-20 18:05:06.274230+00:00
description: Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book
license: no-permission
sd date published: 2022-04-03 22:38:34.714518+00:00
type: Resource
type: MediaObject

Conda environment
date created: 2022-04-03 22:38:36.253117+00:00
date modified: 2023-03-20 18:04:56.238193+00:00
description: Conda environment when user want to have the same libraries installed without concerns of package versions
license: no-permission
sd date published: 2022-04-03 22:38:36.253117+00:00
type: Resource
type: MediaObject

Jupyter notebook
date created: 2022-04-03 22:38:13.405158+00:00
date modified: 2023-03-20 18:05:06.040137+00:00
description: Jupyter Notebook hosted by the Environmental Data Science Book
license: no-permission
sd date published: 2022-04-03 22:38:13.405158+00:00
type: Resource
type: MediaObject
type: earth-scienceJupyterNotebook

Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book - snapshot
doi: https://doi.org/10.24424/m8ew-pg51
is finalized: False
snapshoted at time: 2023-03-20 18:05:06.388049+00:00
about: Environmental research
about: Climatology
content size: 357290
date created: 2022-04-03 22:37:45.977506+00:00
date modified: 2024-03-05 12:23:26.549247+00:00
date published: 2022-04-03 22:37:45.977506+00:00
description: The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book.
encoding format: application/ld+json
keywords: Environmental Science
license: no-permission
main entity: Jupyter Notebook
name: Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book
creation mode: MANUAL
type: ResearchObject
type: SnapshotRO
type: Dataset
type: earth-scienceExecutableResearchObject
type: ExecutableResearchObject
cite-as: Alejandro Coca-Castro, Tom Andersson, and Nick Barlow. "Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book." ROHub. Apr 03 ,2022. https://doi.org/10.24424/m8ew-pg51.

tool
has part: Online rendered version of the Jupyter notebook
has part: Lock conda file for linux-64
has part: Lock conda file for osx-64
has part: Conda environment
has part: Jupyter notebook
type: Folder
type: Dataset

biblio
has part: Seasonal Arctic sea ice forecasting with probabilistic deep learning
type: Folder
type: Dataset

output
has part: Outputs
type: Folder
type: Dataset

input
has part: Input Dataset for IceNet's demo notebook
type: Folder
type: Dataset

Image showing interactive plot of IceNet seasonal forecasts of Artic sea ice according to four lead times and months in 2020
content size: 344731
date created: 2022-04-03 22:38:08.092594+00:00
date modified: 2023-03-20 18:04:55.489566+00:00
encoding format: image/png
license: no-permission
sd date published: 2022-04-03 22:38:08.092594+00:00
type: Sketch
type: Resource
type: MediaObject

Environmental Data Science Book Community
description: Computational notebooks community focused on Environmental Data Science
type: community

forecast
type: Concept
norm score: 21.405750798722043
score: 13.4

Environmental Data Science book
type: Phrase
norm score: 13.052415210688592
score: 12.7

sea ice forecasting
type: Phrase
norm score: 29.907502569373072
score: 29.1

ice
type: Lemma
norm score: 10.91160220994475
score: 7.9

IceNet notebook
type: Phrase
norm score: 28.571428571428573
score: 27.8

research object
type: Phrase
norm score: 26.721479958890033
score: 26.0

Language
type: IPTC
path: Arts, culture and entertainment/Culture/Language

IceNet
type: Lemma
norm score: 16.850828729281766
score: 12.2

ice
type: Concept
norm score: 12.300319488817891
score: 7.7

notebook
type: Concept
norm score: 13.418530351437699
score: 8.4

sea ice
type: Concept
norm score: 9.904153354632587
score: 6.2

aim
type: Concept
norm score: 11.34185303514377
score: 7.1

publishing
type: Domain
norm score: 100.0
score: 6.1

Environmental Data Science
type: Lemma
norm score: 16.71270718232044
score: 12.1

Book industry
type: IPTC
path: Economy, business and finance/Economic sector/Media/Book industry

forecasting
type: Lemma
norm score: 19.198895027624307
score: 13.9

earth sciences
type: FieldOfResearch
norm score: 100.0
score: 0.779520571231842

Literature
type: IPTC
path: Arts, culture and entertainment/Arts and entertainment/Literature

geophysics
type: NASA
norm score: 100.0
score: 0.39970773458480835

Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book.
type: Sentence
norm score: 40.84084084084083
score: 40.8

book
type: Concept
norm score: 16.61341853035144
score: 10.4

geosciences
type: NASA
norm score: 100.0
score: 0.39970773458480835

ice forecasting
type: Phrase
norm score: 1.7471736896197327
score: 1.7

research
type: Concept
norm score: 15.015974440894569
score: 9.4

The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book.
type: Sentence
norm score: 59.15915915915915
score: 59.1

book
type: Lemma
norm score: 10.91160220994475
score: 7.9

research
type: Lemma
norm score: 13.397790055248617
score: 9.7

notebook
type: Lemma
norm score: 12.016574585635357
score: 8.7

physical geography and environmental geoscience
type: FieldOfResearch
norm score: 100.0
score: 0.779520571231842

Environmental Data Science Book Community
type: Person
type: Agent

Alejandro Coca-Castro
affiliation: The Alan Turing Institute
type: Agent

Nick Barlow
affiliation: The Alan Turing Institute
type: Agent

Tom Andersson
affiliation: he British Antarctic Survey
type: Agent

service-account-enrichment
type: Agent

sig
has algorithm: RSA
signed by: RoCrateBot